National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans le but de prédire le phénomène de décrochement. Une nouvelle borne présentant de bon aspect théorique et pratique est proposée. Elle est basée sur une combinaison entre la borne de Barankin et celle de Weiss-Weinstein. Cette borne est appliquéeà un problème d'estimation de fréquence. Une comparaison avec la borne de Barankin hybride montre la supériorité de cette borne pour la prédiction du phénomène de décrochement. Abstract-This article investigates hybrid lower bounds in order to predict the estimators mean square error threshold effect. A tractable and computationally efficient form is derived. This form combines the Barankin and the Wei...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...
International audienceThis article investigates hybrid lower bounds in order to predict the estimato...
International audienceThis article investigates hybrid lower bounds in order to predict the estimato...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceThis letter investigates Bayesian bounds on the mean-square error (MSE) applie...
International audienceThis letter investigates Bayesian bounds on the mean-square error (MSE) applie...
In statistical signal processing, hybrid parameter estimation refers to the case where the parameter...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...
International audienceThis article investigates hybrid lower bounds in order to predict the estimato...
International audienceThis article investigates hybrid lower bounds in order to predict the estimato...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceThis letter investigates Bayesian bounds on the mean-square error (MSE) applie...
International audienceThis letter investigates Bayesian bounds on the mean-square error (MSE) applie...
In statistical signal processing, hybrid parameter estimation refers to the case where the parameter...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...
In the parametric estimation context, estimators performances can be characterized, inter alia, by t...